This pattern gives each user an isolated AI agent workspace in their own OpenShift Virtualization VM, running NVIDIA OpenShell and OpenClaw agents with OIDC sign-in, governed sandbox policy, and API keys kept in Vault.

This pattern deploys an AI guardrails demonstration with a multi-layered safety pipeline, interactive chatbot, and real-time monitoring on OpenShift.

This pattern deploys a multi-tenant AI code assistant with NVIDIA Nemotron models, tiered rate limiting, and IDE integration on OpenShift.

This pattern deploys the RAG AI Quickstart with test pipelines on CPU or GPU.

This pattern demonstrates how Red Hat OpenShift AI can be used to build an end-to-end MLOps platform. It demonstrates this using a credit card fraud detection use case.

This patterns deploys a CPU-based LLM, your choice of several RAG DB providers, and a simple chatbot UI which exposes the configuration and results of the RAG queries.